code: def testSaver(self):
      policy = categorical_q_policy.CategoricalQPolicy(
          self._time_step_spec,
          self._action_spec,
          self._q_network,
          self._min_q_value,
          self._max_q_value,
      )
  
      train_step = tf.compat.v1.train.get_or_create_global_step()
      saver = policy_saver.PolicySaver(policy, train_step=train_step)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(tf.compat.v1.local_variables_initializer())
  
      save_path = os.path.join(
          flags.FLAGS.test_tmpdir, "saved_categorical_q_policy"
      )
  
      # For TF1 Compatibility we set the cached session as default. This is a
      # no-op in TF2.
      with self.cached_session():
          saver.save(save_path)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  import numpy
  import tensorflow
  from tf_agents.networks import categorical_q_network
  from tf_agents.networks import network
  from tf_agents.policies import categorical_q_policy
  from tf_agents.policies import policy_saver
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 8 for calling the CategoricalQPolicyTest obj's underlying member method code with example usage: obj.testSaver() without return types